Legal AI for enterprise commercial teams

Usually not more headcount. Most of the queue is the same incoming terms being reviewed repeatedly, so settling those positions once as a playbook and reviewing against it removes the wait without giving up control.

The risk of a bottleneck is not delay on its own. It is that commercial teams start signing without review because waiting costs them the deal.

Write them as positions rather than policy: what we accept, what we can concede, and what has to escalate. Anything outside the agreed positions is flagged rather than silently approved.

Standards fail when they live in a document nobody opens. They work when they are applied to the contract in front of the person doing the deal.

Uncapped liability and broad indemnities on customer paper, auto-renewal and price escalation in supplier terms, missing data processing agreements, and IP assignments that were never signed by contractors.

Each looks minor in isolation, which is why they are missed. They matter at diligence, where they are repriced rather than negotiated.

Start with the documents you sign most often, agree the standard positions for them, and put those into a playbook. Master service agreements, NDAs and supplier agreements usually account for most of the volume.

Working in that order matters. Standardising the long tail first produces a lot of documentation and very little reduction in risk.

Not necessarily at this stage. Storage and reporting help once the volume is large, but for most scaling businesses the exposure is in what the contracts say rather than in finding them again afterwards.

It is worth being clear which problem you are solving. Consistent drafting and review addresses risk; a repository addresses retrieval.

Yes. GenieAI scales from teams of 2 to teams of 200 with the same product - pricing scales linearly, no enterprise tier required for core features.

Most mid-market teams are productive within a week. Playbook ingestion, integration setup, and team training are bundled into onboarding - no professional-services engagement required.

Mid-market customers typically report 60-80% reduction in contract review cycle time, with proportional reductions in external-counsel spend. Most reach payback within 3-6 months.